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Compiler optimizations for scalable parallel systems : languages, compilation techniques, and run time systems

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Compiler optimizations for scalable parallel systems : languages, compilation techniques, and run time systems
Original Title Compiler optimizations for scalable parallel systems : languages, compilation techniques, and run time systems
Author Pande, Santosh, Agrawal, Dharma P. (Dharma Prakash), 1945-
Publication date

Topics Compilers (Computer programs), Parallel processing (Electronic computers)
Publisher Berlin , New York : Springer
Collection folkscanomy_miscellaneous, folkscanomy, additional_collections
Language English
Book Type EBook
Material Type Book
File Type PDF
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Compiler Optimizations for Scalable Parallel Systems: Languages, Compilation Techniques, and Run Time Systems
Author: Santosh Pande, Dharma P. Agrawal
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-41945-7
DOI: 10.1007/3-540-45403-9

Table of Contents:

  • High Performance Fortran 2.0
  • The Sisal Project: Real World Functional Programming
  • HPC++ and the HPC++Lib Toolkit
  • A Concurrency Abstraction Model for Avoiding Inheritance Anomaly in Object-Oriented Programs
  • Loop Parallelization Algorithms
  • Array Dataflow Analysis
  • Interprocedural Analysis Based on Guarded Array Regions
  • Automatic Array Privatization
  • Optimal Tiling for Minimizing Communication in Distributed Shared-Memory Multiprocessors
  • Communication-Free Partitioning of Nested Loops
  • Solving Alignment Using Elementary Linear Algebra
  • A Compilation Method for Communication-Efficient Partitioning of DOALL Loops
  • Compiler Optimization of Dynamic Data Distributions for Distributed-Memory Multicomputers
  • A Framework for Global Communication Analysis and Optimizations
  • Tolerating Communication Latency through Dynamic Thread Invocation in a Multithreaded Architecture
  • Advanced Code Generation for High Performance Fortran
  • Integer Lattice Based Methods for Local Address Generation for Block-Cyclic Distributions
  • A Duplication Based Compile Time Scheduling Method for Task Parallelism
  • SPMD Execution in the Presence of Dynamic Data Structures
  • Supporting Dynamic Data Structures with Olden

Includes bibliographical references and index

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